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For the Ordinary Kriging Interpolations (1 km x 1 km), measurement data from a total of 1,201 sites of the Swiss Biodiversity Monitoring System, the National Soil Observation System and the European Soil Geochemical Atlas were taken into account. Element concentrations were analyzed in aqua regia outcrop (HNO3:HCl:H2O) from dried (40\u00b0C), sieved (< 2 mm) and subsequently ground soil samples using inductively coupled plasma mass spectrometry. Sites with known anthropogenic over-embossing of element concentrations (point sources) were excluded in advance. The results of the soil geochemical atlas are a snapshot of the element concentrations in the topsoils of Switzerland (sampling period 2011-2015). The interpolated maps serve to improve the visualization of regions with elevated or low concentrations. 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For the Ordinary Kriging interpolations (1 km x 1 km), measurement data from a total of 1,201 sites of the Swiss Biodiversity Monitoring, the National Soil Monitoring and the European Geochemical Soil Atlas were taken into account. The element concentrations were analyzed in aqua regia digests (HNO\u2083:HCl:H\u2082O) of dried (40\u00b0C), sieved (< 2 mm) and subsequently ground soil samples using inductively coupled plasma mass spectrometry. Sites with known anthropogenic overprinting of element concentrations (point sources) were excluded in advance. The results of the geochemical soil atlas are a snapshot of the element concentrations in the topsoils of Switzerland (sampling period 2011-2015). The interpolated maps serve to improve the visualization of regions with elevated or low concentrations. However, no plot-specific information or definitive conclusions on the geology, bioavailability, percentage distribution of geogenic and anthropogenic sources or soil contamination can be derived from them. Citation: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. W\u00e4chter, R. Kretzschmar, R. G. Meuli: Geochemischer Bodenatlas der Schweiz. 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Geographic Information Systems (GIS) techniques were applied to the dataset to create elemental spatial distribution maps,  three-dimensional images and interpretive hazard maps of the pollutants in the study area. 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